Supplier Emissions Gap Analyzer

Assess supplier data coverage and financial exposure from missing emissions data.

#supply-chain#scope3#emissions

How this works

What this tool does

This calculator estimates your supplier data coverage and the financial exposure tied to missing primary emissions. You enter: number of suppliers, % with primary data, % with targets, % with assurance, and annual supplier spend. The tool outputs a coverage score, a risk level, and the spend at risk.

Why it matters

Scope-3 hinges on suppliers. Weak primary data means noisy baselines, fragile targets, and surprise costs when markets price carbon. This tool helps you rank suppliers and justify enablement.

How the math works

  • Coverage = 50% primary + 30% targets + 20% assurance.
  • Risk buckets: <40% = High, <70% = Medium, else Low.
  • Spend at risk ≈ (1 − primary%) × annual supplier spend (crude proxy for exposure to unknowns and carbon price pass-through).

What to do with it

  • Build a supplier playbook: data templates, factor guidance, submission deadlines.
  • Incentivize the top 20% of spend to provide verified data (contractual or pricing levers).
  • For long-tail vendors, provide default factors and a quarterly ramp plan.

Assumptions & limitations

  • Coverage weighting is a heuristic; tailor it to your assurance scope.
  • Risk is directional; actual pass-through depends on contracts and markets.
  • "Spend at risk" ignores elasticity and counter-measures; treat it as a flag, not a forecast.

Pro tips

  • Track coverage monthly; publish a supplier scorecard.
  • Tie better data to better terms (or preferred-vendor status).
  • Use results to plan category-level interventions (e.g., standard shipping modes).